According to the historical data, the life expectancy in the United States is less than the life expectancy in Denmark. A new study has been made to see whetherthis has changed. Records of 230 individuals from the United States who died recently are selected at random. The 230 individuals lived a mean of 77.7 yearswith a standard deviation of 8.8 years. Records of 205 individuals from Denmark who died recently are selected at random and independently. The 205individuals lived a mean of 75.9 years with a standard deviation of 7.5 years. Assume that the population standard deviations of lifetimes in these two countriescan be estimated by the sample standard deviations, as the samples used were quite large. Construct a 95% confidence interval for ₁-₂, the differencebetween the life expectancy μ₁ in the United States and the life expectancy ₂ in Denmark. Then find the lower limit and upper limit of the 95% confidenceinterval.Carry your intermediate computations to at least three decimal places. Round your answers to at least two decimal places. (If necessary, consult a list offormulas.)escLower limit:Upper limit:Explanation·0F1CheckF2X20F3S000 F4SF5F6OⒸ2022 McGraw Hill LLC. All Rights Reserved. Terms of Use | Privacy Center Accessibility|F7*F8▶F9TF10F11F12

Solution: Given information: n1=230n2=205x1=77.7x2=75.9s1=8.8s2= 7.5

Answered: According to the historical data, the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Each students in a local school district write a national examination. The average on this year national exam is 150 with a standard deviation of 20. Schools where the overall average is between 1.5 and 3.0 standard deviations above the mean are eligible for additional funding. What is the average range a school must achieve to be eligible for funding?
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The mean age of clients at a local nail salon is 33.9 years. If 7.21% of the clients are older than 38, find the standard deviation.
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